Regularized Non-Negative Matrix Factorization R package rnnmf version 0.3.1 A proof of concept implementation of regularized non-negative matrix factorization optimization. A non-negative matrix factorization factors non-negative matrix Y approximately as L R, for non-negative matrices L and R of reduced rank. This package supports such factorizations with weighted objective and regularization penalties. Allowable regularization penalties include L1 and L2 penalties on L and R, as well as non-orthogonality penalties. This package provides multiplicative update algorithms, which are a modification of the algorithm of Lee and Seung (2001) <http://papers.nips.cc/paper/1861-algorithms-for-non-negative-matrix-factorization.pdf>, as well as an additive update derived from that multiplicative update. See also Pav (2024) <doi:10.48550/arXiv.2410.22698>. Software Depends: R (>= 3.0.2) Imports: Matrix Suggests: testthat, dplyr, ggplot2, scales, viridis, knitr Steven E. Pav <shabbychef@gmail.com> Comprehensive R Archive Network (CRAN) Steven E. Pav [aut, cre] (ORCID: <https://orcid.org/0000-0002-4197-6195>) LGPL-3 2026-07-14 application/tgz https://CRAN.R-project.org/package=rnnmf doi:10.32614/CRAN.package.rnnmf